BorgwardtLab / WWLLinks
Wasserstein Weisfeiler-Lehman Graph Kernels
☆86Updated last year
Alternatives and similar repositories for WWL
Users that are interested in WWL are comparing it to the libraries listed below
Sorting:
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆97Updated 3 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- ☆62Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Generating PGM Explanation for GNN predictions☆76Updated 2 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- ☆155Updated 4 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆265Updated 3 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆62Updated 5 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆103Updated 4 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- ☆28Updated 4 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆232Updated 2 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆44Updated 3 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆117Updated 5 years ago
- ☆27Updated 10 months ago
- Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching☆44Updated 6 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- ☆46Updated 3 years ago
- ☆31Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆323Updated last year
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 6 years ago